Data Science & Big Data
|University website:||Computer Science: Applied Data Science|
|Annual tuition (EEA)||0 SEK|
|Annual tuition (non-EEA)||125,000 SEK|
We are living through a time of immense digital transformation. In order to benefit society, science and businesses, we need to develop the right tools to extract the full value from the ever-increasing growth of digital data. This interdisciplinary two-year master’s programme will provide you with understanding of the state-of-the-art methods and algorithms of data science through hands-on experience with the latest tools and systems in the industry. After graduation, you will be qualified to work in a range of positions in data-centred projects as well as pursue PhD studies in data science.
Data Science is an emerging and multidisciplinary field that requires knowledge and skills in subjects such as computer science, mathematics and communication technologies. During this programme, you will get a comprehensive understanding of the fundamental aspects of data modelling, computational techniques and statistical analysis. You will apply these skills to real-world problems and build a portfolio of projects demonstrating solutions to current business and societal challenges. You will have the opportunity to conduct original and innovative research, working with industry partners and academia during the capstone project course and thesis work.
The programme is built around the international research environments at the Department of Computer Science and Media Technology. The teaching staff includes experts in artificial intelligence, data processing and analysis, software development for big data and cloud architectures, modern software methodologies, and data visualisation.
Graduates will enter the workplace with solid skills in managing, modelling, visualising and processing big data in order to provide insights to meet the growing needs of a digitised society. After graduating from this programme, you will have developed competencies that are applicable across various sectors and application domains of data science such as computer science, technology, logistics, financial services, internet of things, transport, business analytics, healthcare, gaming and digital marketing and advertising analytics.
In addition, the programme will prepare you for postgraduate education in computational-based science and technology — especially focussed on data science — but also research and development work in related areas.